Gitlab (GTLB) Capital Expenditures (2022 - 2026)
Gitlab (GTLB) posted Capital Expenditures of $213,000 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 92.7% from $2.9 million a year earlier and down 91.1% from the prior quarter.
Gitlab (GTLB) Capital Expenditures (2022 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Capital Expenditures at Gitlab was $9.62 million, up 59.5% year-over-year; for FY2026 (ended Jan 31, 2026), it was $10.83 million, up 187.6% from FY2025.
- Annual Capital Expenditures shows a four-year compound annual growth rate of 32.2% (FY2022 to FY2026).
- In prior fiscal years, Gitlab's Capital Expenditures was $3.77 million in FY2025 (+135.6%), $1.6 million in FY2024 (-73.7%), $6.07 million in FY2023 (+71.4%) and $3.54 million in FY2022.
- The fiscal Q2 2027 figure stands as the lowest quarterly Capital Expenditures in data going back to fiscal Q4 2022.
- On a year-over-year basis, Capital Expenditures increased in seven of the last eight quarters, with growth averaging 133.4%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q4 2025, with growth of 251.7%; the weakest was fiscal Q2 2027, with a decline of 92.7%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $2.39 million (Q1 2027), $3.97 million (Q4 2026) and $3.04 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Gitlab | 7.85 Bn | 2.82 Bn | 240.62 Mn | 213,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 213,000.00 |
| Apr 30, 2026 | 2.39 Mn |
| Jan 31, 2026 | 3.97 Mn |
| Oct 31, 2025 | 3.04 Mn |
| Jul 31, 2025 | 2.90 Mn |
| Apr 30, 2025 | 912,000.00 |
| Jan 31, 2025 | 1.16 Mn |
| Oct 31, 2024 | 1.06 Mn |
| Jul 31, 2024 | 851,000.00 |
| Apr 30, 2024 | 700,000.00 |
| Jan 31, 2024 | 329,000.00 |
| Oct 31, 2023 | 736,000.00 |
| Jul 31, 2023 | 277,000.00 |
| Apr 30, 2023 | 256,000.00 |
| Jan 31, 2023 | 1.05 Mn |
| Oct 31, 2022 | 1.78 Mn |
| Jul 31, 2022 | 1.36 Mn |
| Apr 30, 2022 | 1.87 Mn |
| Jan 31, 2022 | 3.54 Mn |
Gitlab Capital Expenditures API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=capital-expenditures&ticker=GTLB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "GTLB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=GTLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();